---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-3b-instruct
tags:
- generated_from_trainer
model-index:
- name: results
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# results

This model is a fine-tuned version of [meta-llama/Llama-3.2-3b-instruct](https://huggingface.co/meta-llama/Llama-3.2-3b-instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2300

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9720 | 13   | 0.4116          |
| 0.819         | 1.9439 | 26   | 0.3048          |
| 0.3283        | 2.9907 | 40   | 0.2464          |
| 0.3283        | 3.9626 | 53   | 0.2307          |
| 0.2244        | 4.8598 | 65   | 0.2300          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0